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Saturday September 21, 2024 12:05pm - 12:35pm EDT

Link to paper

Abstract:
Differential Privacy (DP) is a powerful technology, but not well-suited to protecting corporate proprietary information while computing aggregate industry-wide statistics. We elucidate this scenario with an example of cybersecurity management data, and consider an alternative approach that relies on a pragmatic assessment of harm to add noise to the data.
Authors
SG

Simson Garfinkel

Harvard University
KC

kc claffy

CAIDA/UCSD
Discussants
avatar for Jon Peha

Jon Peha

Professor and Center Director, Carnegie Mellon University
Saturday September 21, 2024 12:05pm - 12:35pm EDT
Room NT01 WCL, 4300 Nebraska Ave, Washington, DC

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